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Update Microsoft.Data.Analysis.DataFrame C# Samples to use Plotly.NET… #3380

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Jan 5, 2024
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Update Microsoft.Data.Analysis.DataFrame C# Samples to use Plotly.NET… #3380

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Update Microsoft.Data.Analysis.DataFrame C# Samples to use Plotly.NET…
asmirnov82 Dec 13, 2023
ec198a8
Remove unnecessary linq select
asmirnov82 Dec 15, 2023
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134 changes: 39 additions & 95 deletions samples/notebooks/csharp/Samples/DataFrame-Getting Started.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -18,59 +18,15 @@
"languageId": "dotnet-interactive.csharp"
}
},
"outputs": [
{
"data": {
"text/html": [
"<div><div><strong>Restore sources</strong><ul><li><span>https://pkgs.dev.azure.com/dnceng/public/_packaging/dotnet-tools/nuget/v3/index.json</span></li><li><span>https://pkgs.dev.azure.com/dnceng/public/_packaging/dotnet5/nuget/v3/index.json</span></li></ul></div><div></div><div><strong>Installed Packages</strong><ul><li><span>Microsoft.Data.Analysis, 0.19.0</span></li><li><span>XPlot.Plotly.Interactive, 4.0.6</span></li></ul></div></div>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/markdown": [
"Loading extensions from `XPlot.Plotly.Interactive.dll`"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/markdown": [
"Configuring PowerShell Kernel for XPlot.Plotly integration."
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/markdown": [
"Installed support for XPlot.Plotly."
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/markdown": [
"Loading extensions from `Microsoft.Data.Analysis.Interactive.dll`"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"outputs": [],
"source": [
"#i \"nuget:https://api.nuget.org/v3/index.json\" \n",
"#i \"nuget:https://pkgs.dev.azure.com/dnceng/public/_packaging/dotnet5/nuget/v3/index.json\" \n",
"#i \"nuget:https://pkgs.dev.azure.com/dnceng/public/_packaging/dotnet-tools/nuget/v3/index.json\" \n",
"\n",
"#r \"nuget:Microsoft.Data.Analysis,0.19.0\"\n",
"#r \"nuget:XPlot.Plotly.Interactive, 4.0.6\"\n",
"#r \"nuget:Microsoft.Data.Analysis, 0.21.0\"\n",
"#r \"nuget: Plotly.NET.Interactive, 4.2.0\"\n",
"#r \"nuget: Plotly.Net, 4.2.0\"\n",
"\n",
"using Microsoft.Data.Analysis;"
]
Expand All @@ -88,9 +44,9 @@
},
"outputs": [],
"source": [
"PrimitiveDataFrameColumn<DateTime> dateTimes = new PrimitiveDataFrameColumn<DateTime>(\"DateTimes\"); // Default length is 0.\n",
"PrimitiveDataFrameColumn<int> ints = new PrimitiveDataFrameColumn<int>(\"Ints\", 3); // Makes a column of length 3. Filled with nulls initially\n",
"StringDataFrameColumn strings = new StringDataFrameColumn(\"Strings\", 3); // Makes a column of length 3. Filled with nulls initially"
"DateTimeDataFrameColumn dateTimes = new DateTimeDataFrameColumn(\"DateTimes\"); // Default length is 0.\n",
"Int32DataFrameColumn ints = new Int32DataFrameColumn(\"Ints\", 6); // Makes a column of length 3. Filled with nulls initially\n",
"StringDataFrameColumn strings = new StringDataFrameColumn(\"Strings\", 6); // Makes a column of length 3. Filled with nulls initially"
]
},
{
Expand All @@ -106,10 +62,13 @@
},
"outputs": [],
"source": [
"// Append 3 values to dateTimes\n",
"// Append 6 values to dateTimes\n",
"dateTimes.Append(DateTime.Parse(\"2019/01/01\"));\n",
"dateTimes.Append(DateTime.Parse(\"2019/01/01\"));\n",
"dateTimes.Append(DateTime.Parse(\"2019/01/02\"));"
"dateTimes.Append(DateTime.Parse(\"2019/01/02\"));\n",
"dateTimes.Append(DateTime.Parse(\"2019/02/02\"));\n",
"dateTimes.Append(DateTime.Parse(\"2019/02/02\"));\n",
"dateTimes.Append(DateTime.Parse(\"2019/03/02\"));"
]
},
{
Expand Down Expand Up @@ -176,7 +135,7 @@
"outputs": [],
"source": [
"// Modify ints and strings columns by indexing\n",
"ints[1] = 100;\n",
"ints[1] = 24;\n",
"strings[1] = \"Foo!\";\n",
"df"
]
Expand Down Expand Up @@ -232,7 +191,7 @@
"outputs": [],
"source": [
"// We can also use binary operators. Binary operators produce a copy, so assign it back to our Ints column \n",
"df[\"Ints\"] = (ints / 5) * 100;\n",
"df[\"Ints\"] = (ints / 5) * 20;\n",
"df"
]
},
Expand All @@ -250,7 +209,7 @@
"outputs": [],
"source": [
"// Fill nulls in our columns, if any. Ints[2], Strings[0] and Strings[1] are null\n",
"df[\"Ints\"].FillNulls(-1, inPlace: true);\n",
"df[\"Ints\"].FillNulls(100, inPlace: true);\n",
"df[\"Strings\"].FillNulls(\"Bar\", inPlace: true);\n",
"df"
]
Expand Down Expand Up @@ -339,11 +298,12 @@
},
"outputs": [],
"source": [
"// GroupBy \n",
"GroupBy groupBy = df.GroupBy(\"DateTimes\");\n",
"// Count of values in each group\n",
"DataFrame groupCounts = groupBy.Count();\n",
"groupCounts"
"//Clone dataframe\n",
"var newDf = df.Clone();\n",
"\n",
"//Add new column\n",
"StringDataFrameColumn newColumn = new StringDataFrameColumn(\"Month\", ((DateTimeDataFrameColumn)df[\"DateTimes\"]).Select(x => x.Value.ToString(\"MMMM\")));\n",
"newDf.Columns.Add(newColumn);"
]
},
{
Expand All @@ -359,9 +319,12 @@
},
"outputs": [],
"source": [
"// Alternatively find the sum of the values in each group in Ints\n",
"DataFrame intsGroupSum = groupBy.Sum(\"Ints\");\n",
"intsGroupSum"
"// GroupBy month\n",
"GroupBy groupBy = newDf.GroupBy(\"Month\");\n",
"\n",
"//Show grouped data\n",
"DataFrame groupedDf = groupBy.Head(10);\n",
"groupedDf"
]
},
{
Expand All @@ -377,8 +340,9 @@
},
"outputs": [],
"source": [
"using XPlot.Plotly;\n",
"using System.Linq;"
"// Count of values in each group\n",
"DataFrame groupCounts = groupBy.Count();\n",
"groupCounts"
]
},
{
Expand All @@ -394,7 +358,9 @@
},
"outputs": [],
"source": [
"#r \"nuget:MathNet.Numerics,4.9.0\""
"// Alternatively find the sum of the values in each group in Ints\n",
"DataFrame intsGroupSum = groupBy.Sum(\"Ints\");\n",
"intsGroupSum"
]
},
{
Expand All @@ -410,11 +376,9 @@
},
"outputs": [],
"source": [
"using MathNet.Numerics.Distributions;\n",
"double mean = 0;\n",
"double stdDev = 0.1;\n",
"\n",
"MathNet.Numerics.Distributions.Normal normalDist = new Normal(mean, stdDev);"
"using Plotly.NET;\n",
"using System.Linq;\n",
"using Microsoft.FSharp.Core;"
]
},
{
Expand All @@ -430,29 +394,9 @@
},
"outputs": [],
"source": [
"PrimitiveDataFrameColumn<double> doubles = new PrimitiveDataFrameColumn<double>(\"Normal Distribution\", normalDist.Samples().Take(1000));\n",
"display(Chart.Plot(\n",
" new Histogram()\n",
" {\n",
" x = doubles,\n",
" nbinsx = 30\n",
" }\n",
"));"
"display(Chart2D.Chart.Column<int, string, string, string, string>(\n",
" ((Int32DataFrameColumn)intsGroupSum[\"Ints\"]).Select(x => x ?? default), new FSharpOption<IEnumerable<string>>(((StringDataFrameColumn)intsGroupSum[\"Month\"]))));"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"dotnet_interactive": {
"language": "csharp"
},
"vscode": {
"languageId": "dotnet-interactive.csharp"
}
},
"outputs": [],
"source": []
}
],
"metadata": {
Expand Down